Causal Effect Inference with Deep Latent-Variable Models

24 May 2017

Joris Mooij

Papers citing "Causal Effect Inference with Deep Latent-Variable Models"

50 / 401 papers shown

Title
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment Yusuke Hirota Ryo Hachiuma Chao-Han Huck Yang Yuta Nakashima VLM 38 3 0 20 Jun 2024
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation Christopher Bockel-Rickermann Toon Vanderschueren Tim Verdonck Wouter Verbeke CML 40 0 0 12 Jun 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data M. Oprescu Nathan Kallus CML 18 0 0 10 Jun 2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML OOD 40 1 0 06 Jun 2024
Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders Josuan Calderon Gordon J. Berman CML 25 0 0 05 Jun 2024
Benchmarking for Deep Uplift Modeling in Online Marketing Dugang Liu Xing Tang Yang Qiao Miao Liu Zexu Sun Xiuqiang He Zhong Ming 19 1 0 01 Jun 2024
G-Transformer for Conditional Average Potential Outcome Estimation over Time Konstantin Hess Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 54 2 0 31 May 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark Fredrik D. Johansson CML 34 0 0 25 May 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 47 2 0 20 May 2024
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation Roger Pros Jordi Vitrià CML 43 0 0 18 Apr 2024
Causal Effect Estimation Using Random Hyperplane Tessellations Abhishek Dalvi Neil Ashtekar V. Honavar 33 0 0 16 Apr 2024
C-XGBoost: A tree boosting model for causal effect estimation Niki Kiriakidou I. Livieris Christos Diou CML 31 1 0 31 Mar 2024
Causal Inference for Human-Language Model Collaboration Bohan Zhang Yixin Wang Paramveer S. Dhillon 38 2 0 30 Mar 2024
Uplift Modeling Under Limited Supervision G. Panagopoulos Daniele Malitesta Fragkiskos D. Malliaros Jun Pang CML 43 0 0 28 Mar 2024
Causal-StoNet: Causal Inference for High-Dimensional Complex Data Yaxin Fang Faming Liang CML 42 1 0 27 Mar 2024
Recovering Latent Confounders from High-dimensional Proxy Variables Nathan Mankovich Homer Durand Emiliano Díaz Gherardo Varando Gustau Camps-Valls 22 0 0 21 Mar 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 42 1 0 17 Mar 2024
Mitigating attribute amplification in counterfactual image generation Tian Xia Mélanie Roschewitz Fabio De Sousa Ribeiro Charles Jones Ben Glocker CML MedIm 47 1 0 14 Mar 2024
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling Dingyuan Zhu Daixin Wang Qing Cui Kun Kuang Yan Zhang Yulin Kang Jun Zhou 40 3 0 11 Mar 2024
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media Bohan Jiang Lu Cheng Zhen Tan Ruocheng Guo Huan Liu 34 6 0 06 Mar 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects Yingrong Wang Anpeng Wu Haoxuan Li Weiming Liu Qiaowei Miao Ruoxuan Xiong Fei Wu Kun Kuang 42 0 0 05 Mar 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference Models Yiyan Huang Cheuk Hang Leung Siyi Wang Yijun Li Qi Wu OOD CML 36 0 0 28 Feb 2024
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman Matt Jordan Murat Kocaoglu DiffM CML 30 0 0 12 Feb 2024
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing Yinqiu Huang Shuli Wang Min Gao Xue Wei Changhao Li Chuan Luo Yinhua Zhu Xiong Xiao Yi Luo 17 3 0 04 Feb 2024
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction Haruka Kiyohara Masahiro Nomura Yuta Saito 17 5 0 03 Feb 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing Lokesh Nagalapatti Akshay Iyer Abir De Sunita Sarawagi CML 27 7 0 27 Jan 2024
Deep Learning With DAGs Sourabh Vivek Balgi Adel Daoud Jose M. Pena G. Wodtke Jesse Zhou AI4CE CML 27 1 0 12 Jan 2024
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks Ziqiang Cui Xing Tang Yang Qiao Bowei He Liang Chen Xiuqiang He Chen-li Ma CML 34 0 0 12 Jan 2024
Neural Causal Abstractions K. Xia Elias Bareinboim CML NAI 44 5 0 05 Jan 2024
Disentangle Estimation of Causal Effects from Cross-Silo Data Yuxuan Liu Yining Qi Shuang Wang Zhiming He Wenchao Xu Jialiang Zhu Fan Yang CML 25 2 0 04 Jan 2024
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference Md Musfiqur Rahman Murat Kocaoglu OOD 35 2 0 02 Jan 2024
Multiple Instance Learning for Uplift Modeling Yao Zhao Haipeng Zhang Shiwei Lyu Ruiying Jiang Jinjie Gu Guannan Zhang 24 2 0 15 Dec 2023
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference Debo Cheng Yang Xie Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Yinghao Zhang Zaiwen Feng CML BDL 20 1 0 08 Dec 2023
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits Muhammad Faaiz Taufiq Arnaud Doucet Rob Cornish Jean-François Ton OffRL 24 7 0 03 Dec 2023
Adversarial Distribution Balancing for Counterfactual Reasoning Stefan Schrod Fabian H. Sinz Michael Altenbuchinger OOD CML 19 1 0 28 Nov 2023
Conditional Modeling Based Automatic Video Summarization Jia-Hong Huang Chao-Han Huck Yang Pin-Yu Chen Min-Hung Chen M. Worring VGen 21 5 0 20 Nov 2023
Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge Haowen Wang Xinyan Ye Yangze Zhou Zhiyi Zhang L. Zhang Jing Jiang CML 24 0 0 14 Nov 2023
Causal Inference from Text: Unveiling Interactions between Variables Yuxiang Zhou Yulan He CML 30 4 0 09 Nov 2023
Counterfactual Data Augmentation with Contrastive Learning Ahmed Aloui Juncheng Dong Cat P. Le Vahid Tarokh CML 28 2 0 07 Nov 2023
Estimating treatment effects from single-arm trials via latent-variable modeling Manuel Haussmann Tran Minh Son Le Viivi Halla-aho Samu Kurki Jussi Leinonen Miika Koskinen Samuel Kaski Harri Lähdesmäki CML 26 0 0 06 Nov 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 31 2 0 26 Oct 2023
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation Konstantin Hess Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 27 14 0 26 Oct 2023
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing Yuma Ichikawa Koji Hukushima 24 5 0 24 Oct 2023
Shortcuts for causal discovery of nonlinear models by score matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Francesco Locatello CML 53 3 0 22 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 68 2 0 16 Oct 2023
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder Ziqi Xu Debo Cheng Jiuyong Li Jixue Liu Lin Liu Kui Yu CML 34 9 0 03 Oct 2023
Towards Causal Foundation Model: on Duality between Causal Inference and Attention Jiaqi Zhang Joel Jennings Agrin Hilmkil Nick Pawlowski Cheng Zhang Chao Ma CML 54 13 0 01 Oct 2023
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects Khiem Pham David A. Hirshberg Phuong-Mai Huynh-Pham Michele Santacatterina Ser-Nam Lim Ramin Zabih 6 1 0 01 Oct 2023
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments Yujie Lin Chen Zhao Minglai Shao Baoluo Meng Xujiang Zhao Haifeng Chen 24 3 0 22 Sep 2023
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder Zheng Liu Xiaohan Li Philip Yu CML 25 1 0 22 Aug 2023